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Technical AI Product Manager

1 month, 3 weeks ago
United Arab Emirates, Singapore, Hong Kong
Full-time
Mid Level
Technical Product Manager
Artificial Intelligence and Machine Learning
LLM Prototyping Python
Apply Now
CoinMarketCap

CoinMarketCap

CoinMarketCap is the leading source for crypto market data, providing accurate and unbiased information for users to make informed decisions in the cryptocurrency space.

IT Services
11-50
Founded 2013
View All Jobs 16

Description

  • Identify the biggest user pain points where AI can materially improve user outcomes in crypto.
  • Turn ambiguous ideas into a clear MVP with defined scope, constraints, and success metrics.
  • Prototype full AI experiences in Python to validate value and quality before production.
  • Own prompt and context engineering, including instruction design, guardrails, tool/function calling patterns, and output formatting.
  • Build evaluation loops using golden sets, scenario coverage, qualitative rubrics, regressions, and acceptance criteria.
  • Design a clear, trustworthy, and resilient AI user experience that handles failures gracefully.
  • Run fast experiments, analyze real usage and output data, and iterate quickly on AI features.
  • Partner with Engineering to productionize validated MVPs and provide handoff specs, edge cases, and evaluation results.
  • Support debugging and post-launch iteration after shipping.
  • Work on the highest-leverage product surface at any given time.

Requirements

  • Strong product judgment and the ability to make sound decisions under ambiguity.
  • Hands-on Python prototyping ability with the capability to write clean code quickly.
  • Practical LLM experience with intuition for prompt iteration and context design.
  • Strong evaluation mindset with the ability to define quality and test for failure modes and regressions.
  • High-agency execution with the ability to move from a vague problem to shipped learning with minimal supervision.
  • Excellent verbal and written communication skills for simplifying complex ideas and building stakeholder alignment.
  • Preferred: experience shipping user-facing AI features such as chat, agents, copilots, summarization, search/Q&A, or personalization.
  • Preferred: 0-to-1 experience in fast-moving environments and owning ambiguous problems end-to-end.
  • Preferred: experience building tool-using and agent-like workflows.
  • Preferred: experience and interest in cryptocurrency.
  • Preferred: candidates who can share examples of prototypes, side projects, or shipped features they built and explain how they handled ambiguity.

Interested in this position?

Apply directly on the company website

Apply Now

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